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Published February 3, 2021 | Published
Journal Article Open

The Architecture of Human Memory: Insights from Human Single-Neuron Recordings

Abstract

Deciphering the mechanisms of human memory is a central goal of neuroscience, both from the point of view of the fundamental biology of memory and for its translational relevance. Here, we review some contributions that recordings from neurons in humans implanted with electrodes for clinical purposes have made toward this goal. Recordings from the medial temporal lobe, including the hippocampus, reveal the existence of two classes of cells: those encoding highly selective and invariant representations of abstract concepts, and memory-selective cells whose activity is related to familiarity and episodic retrieval. Insights derived from observing these cells in behaving humans include that semantic representations are activated before episodic representations, that memory content and memory strength are segregated, and that the activity of both types of cells is related to subjective awareness as expected from a substrate for declarative memory. Visually selective cells can remain persistently active for several seconds, thereby revealing a cellular substrate for working memory in humans. An overarching insight is that the neural code of human memory is interpretable at the single-neuron level. Jointly, intracranial recording studies are starting to reveal aspects of the building blocks of human memory at the single-cell level. This work establishes a bridge to cellular-level work in animals on the one hand, and the extensive literature on noninvasive imaging in humans on the other hand. More broadly, this work is a step toward a detailed mechanistic understanding of human memory that is needed to develop therapies for human memory disorders.

Additional Information

© 2021 the authors. For the first six months after publication SfN's license will be exclusive. Beginning six months after publication the Work will be made freely available to the public on SfN's website to copy, distribute, or display under a Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). Received June 30, 2020; revised Sep. 24, 2020; accepted Sep. 27, 2020. U.R. was supported by National Institutes of Health R01 MH110831, U01NS117839, and P50MH094258, National Science Foundation Career Award BCS-1554105, and McKnight Foundation for Neuroscience. J.S. was supported by Swiss National Science Foundation SNSF 320030_176222. F.M. was supported by Volkswagen Foundation, German Ministry of Education and Research BMBF 031L0197B, and German Research Council DFG MO 930/8-1, MO 930/4-2, SFB 1089. LR was supported by French ANR-18-CE37-0007-01 AI-REPS. We thank Adam Mamelak, Jan Kamiński, and Ralph Adolphs for discussion. The authors declare no competing financial interests.

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Created:
August 22, 2023
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October 23, 2023